Keepa AI Insights - Guide

What Is Keepa AI Insights?

Keepa AI Insights combines Keepa's historical data with DeepSeek to automatically interpret complex charts — including price, sales rank, and rating — into human-readable, actionable insights. It helps you visualize a product’s lifecycle and decode its core strategies, like discount timing, competitive positioning, and promotional triggers behind sales spikes.

Why Use Keepa AI Insights?

1. Save Time & Increase Efficiency

Interpreting raw Keepa charts is time-consuming and error-prone. With AI-driven reports, insights that used to take 30 minutes now take just 1 minute — allowing you to skip the curve-reading and focus on strategy.

2. Smart Recommendations, Clearer Decisions

Keepa AI Insights doesn’t just show trends — it provides lifecycle analysis, identifies sales opportunities, and suggests differentiated competitive strategies based on data-backed reasoning.

3. Lower the Barrier, No More Guesswork

Forget relying on guesswork or senior-level experience. Even new sellers can now perform expert-level product analysis with AI-powered reports.

Best Use Cases

1. Analyze Competitors & Learn What Works

Uncover how your competitors grew their sales — from pricing drops and promo timing to ad strategies. Let Keepa AI Insights break down their game plan so you can adapt and win.

2. Understand Product Lifecycle

Validate if a product is worth launching. Let Keepa AI Insights show you whether it’s on the rise or heading into decline, so you can make data-backed decisions on when (or whether) to enter the market.

3. Identify Growth Opportunities & Boost Sales

Identify what’s holding your product back — whether it’s pricing, seasonality, or keyword targeting. Use Keepa AI Insights to uncover new demand trends, highlight performance gaps, and find ways to optimize and grow.

4. Develop Smarter Competitive Strategies

In competitive categories, standing out is everything. Keepa AI Insights helps you pinpoint unique angles and missed opportunities, so your product earns attention and converts better.

How to Use Keepa AI Insights

1. Web

• Go to Competitor Lookup or Product Research in the SellerSprite web and click the Keepa Trends icon.

   

• In the chart view, click the AI Insights button in the top-right corner.

   

• Wait ~1–2 minutes for the full analysis report. You can also export to PDF or share with others.

2. Extension

Open an Amazon product page. Then launch the Keepa Trends feature from the SellerSprite browser extension and click AI Insights for instant Keepa-based analysis.

Note: Reports expire after 10 days — export to PDF to keep permanently.

Free Usage Limits

• Free users: 10 reports per day

• Premium users: 100 reports per day

   

Report Structure & Interpretation

Each AI report includes a detailed breakdown of product performance across 8 key modules + actionable summary. Here's how to understand them:

Module 1: Key Milestones

• What's covered: First seen date, first order, first review, and anomalies.

• Helps you identify launch timeline and key growth moments. Sudden spikes may signal promotions or influencer pushes.

   

Module 2: Review Growth Curve

• Tracks rating volume over time and flags abnormal spikes.

• Helps you assess review strategies, detect inorganic growth, and evaluate overall product reputation.

   

Modules 3 & 5: Pricing Strategy

• Breaks down price changes, deal timings, and psychological pricing.

• See how pricing moves impact BSR or conversions.

   

Module 4: Stockouts & Recovery

• Detects when the product went out of stock and how long it took to recover.

• Evaluate inventory stability and supply chain issues.

   

Module 5: Hijacker Defense

• Shows when hijackers appeared and how the brand responded (e.g., pricing defense, brand registry tools).

• Helps you assess a competitor’s brand protection strategy.

   

Module 6: BSR Attribution

• Correlates ranking shifts with events like pricing changes, review growth, or ad campaigns.

   

Module 7: Variation & Seasonality Trends

• Detects seasonal spikes and top-selling variations.

• Useful for planning stock, promotions, and seasonal campaigns.

   

Module 8: Lifecycle Evaluation

• Classifies the product as New → Growth → Maturity → Decline.

• Informs launch decisions or exit timing.

   

Module 9: Overall Summary & Recommendations

• Wraps up insights with clear takeaways and suggested next steps — whether it’s launch, optimization, or competitive repositioning.

   

Note: If the ASIN has been active for over 1.5 years, the system may truncate historical data to focus on the first 6 months post-launch and the most recent 12 months. A notice of data truncation will be included in the report.